Literature DB >> 18825246

Dynamic functional and mechanical response of breast tissue to compression.

S A Carp1, J Selb, Q Fang, R Moore, D B Kopans, E Rafferty, D A Boas.   

Abstract

Physiological tissue dynamics following breast compression offer new contrast mechanisms for evaluating breast health and disease with near infrared spectroscopy. We monitored the total hemoglobin concentration and hemoglobin oxygen saturation in 28 healthy female volunteers subject to repeated fractional mammographic compression. The compression induces a reduction in blood flow, in turn causing a reduction in hemoglobin oxygen saturation. At the same time, a two phase tissue viscoelastic relaxation results in a reduction and redistribution of pressure within the tissue and correspondingly modulates the tissue total hemoglobin concentration and oxygen saturation. We observed a strong correlation between the relaxing pressure and changes in the total hemoglobin concentration bearing evidence of the involvement of different vascular compartments. Consequently, we have developed a model that enables us to disentangle these effects and obtain robust estimates of the tissue oxygen consumption and blood flow. We obtain estimates of 1.9+/-1.3 micromol/100 mL/min for OC and 2.8+/-1.7 mL/100 mL/min for blood flow, consistent with other published values.

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Year:  2008        PMID: 18825246      PMCID: PMC2650732          DOI: 10.1364/oe.16.016064

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  45 in total

1.  Combined diffuse optical spectroscopy and contrast-enhanced magnetic resonance imaging for monitoring breast cancer neoadjuvant chemotherapy: a case study.

Authors:  Natasha Shah; Jessica Gibbs; Dulcy Wolverton; Albert Cerussi; Nola Hylton; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2005 Sep-Oct       Impact factor: 3.170

2.  Design and implementation of dynamic near-infrared optical tomographic imaging instrumentation for simultaneous dual-breast measurements.

Authors:  Christoph H Schmitz; David P Klemer; Rosemarie Hardin; Michael S Katz; Yaling Pei; Harry L Graber; Mikhail B Levin; Rita D Levina; Nelson A Franco; William B Solomon; Randall L Barbour
Journal:  Appl Opt       Date:  2005-04-10       Impact factor: 1.980

3.  Multispectral breast imaging using a ten-wavelength, 64 x 64 source/detector channels silicon photodiode-based diffuse optical tomography system.

Authors:  Changqing Li; Hongzhi Zhao; Bonnie Anderson; Huabei Jiang
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

4.  Diffuse optical measurement of blood flow in breast tumors.

Authors:  Turgut Durduran; Regine Choe; Guoqiang Yu; Chao Zhou; Julia C Tchou; Brian J Czerniecki; Arjun G Yodh
Journal:  Opt Lett       Date:  2005-11-01       Impact factor: 3.776

5.  In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy.

Authors:  Albert Cerussi; Natasha Shah; David Hsiang; Amanda Durkin; John Butler; Bruce J Tromberg
Journal:  J Biomed Opt       Date:  2006 Jul-Aug       Impact factor: 3.170

6.  Breast cancer: regional blood flow and blood volume measured with magnetic susceptibility-based MR imaging--initial results.

Authors:  Jean-Paul Delille; Priscilla J Slanetz; Eren D Yeh; Daniel B Kopans; Leoncio Garrido
Journal:  Radiology       Date:  2002-05       Impact factor: 11.105

7.  Time-domain optical mammography SoftScan: initial results.

Authors:  Xavier Intes
Journal:  Acad Radiol       Date:  2005-08       Impact factor: 3.173

8.  Blood flow and metabolism in locally advanced breast cancer: relationship to response to therapy.

Authors:  David A Mankoff; Lisa K Dunnwald; Julie R Gralow; Georgiana K Ellis; Aaron Charlop; Thomas J Lawton; Erin K Schubert; Jeffrey Tseng; Robert B Livingston
Journal:  J Nucl Med       Date:  2002-04       Impact factor: 10.057

9.  Measurements of blood flow and exchanging water space in breast tumors using positron emission tomography: a rapid and noninvasive dynamic method.

Authors:  C B Wilson; A A Lammertsma; C G McKenzie; K Sikora; T Jones
Journal:  Cancer Res       Date:  1992-03-15       Impact factor: 12.701

10.  The composition of body tissues.

Authors:  H Q Woodard; D R White
Journal:  Br J Radiol       Date:  1986-12       Impact factor: 3.039

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  19 in total

1.  Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis.

Authors:  Bernhard B Zimmermann; Bin Deng; Bhawana Singh; Mark Martino; Juliette Selb; Qianqian Fang; Amir Y Sajjadi; Jayne Cormier; Richard H Moore; Daniel B Kopans; David A Boas; Mansi A Saksena; Stefan A Carp
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

2.  Hemodynamic signature of breast cancer under fractional mammographic compression using a dynamic diffuse optical tomography system.

Authors:  Stefan A Carp; Amir Y Sajjadi; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Steven J Isakoff
Journal:  Biomed Opt Express       Date:  2013-11-22       Impact factor: 3.732

3.  Blood-pressure-induced oscillations of deoxy- and oxyhemoglobin concentrations are in-phase in the healthy breast and out-of-phase in the healthy brain.

Authors:  Kristen T Tgavalekos; Jana M Kainerstorfer; Angelo Sassaroli; Sergio Fantini
Journal:  J Biomed Opt       Date:  2016-10       Impact factor: 3.170

4.  Finite-element modeling of compression and gravity on a population of breast phantoms for multimodality imaging simulation.

Authors:  Gregory M Sturgeon; Nooshin Kiarashi; Joseph Y Lo; E Samei; W P Segars
Journal:  Med Phys       Date:  2016-05       Impact factor: 4.071

5.  Broadband optical mammography instrument for depth-resolved imaging and local dynamic measurements.

Authors:  Nishanth Krishnamurthy; Jana M Kainerstorfer; Angelo Sassaroli; Pamela G Anderson; Sergio Fantini
Journal:  Rev Sci Instrum       Date:  2016-02       Impact factor: 1.523

6.  Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI).

Authors:  Amir Y Sajjadi; Steven J Isakoff; Bin Deng; Bhawana Singh; Christy M Wanyo; Qianqian Fang; Michelle C Specht; Lidia Schapira; Beverly Moy; Aditya Bardia; David A Boas; Stefan A Carp
Journal:  Biomed Opt Express       Date:  2017-01-04       Impact factor: 3.732

7.  Feasibility of spatial frequency-domain imaging for monitoring palpable breast lesions.

Authors:  Constance M Robbins; Guruprasad Raghavan; James F Antaki; Jana M Kainerstorfer
Journal:  J Biomed Opt       Date:  2017-08       Impact factor: 3.170

8.  Digital optical tomography system for dynamic breast imaging.

Authors:  Molly L Flexman; Michael A Khalil; Rabah Al Abdi; Hyun K Kim; Christopher J Fong; Elise Desperito; Dawn L Hershman; Randall L Barbour; Andreas H Hielscher
Journal:  J Biomed Opt       Date:  2011-07       Impact factor: 3.170

9.  Blood flow reduction in breast tissue due to mammographic compression.

Authors:  David R Busch; Regine Choe; Turgut Durduran; Daniel H Friedman; Wesley B Baker; Andrew D Maidment; Mark A Rosen; Mitchell D Schnall; Arjun G Yodh
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

10.  Effects of breast density and compression on normal breast tissue hemodynamics through breast tomosynthesis guided near-infrared spectral tomography.

Authors:  Kelly E Michaelsen; Venkataramanan Krishnaswamy; Linxi Shi; Srinivasan Vedantham; Andrew Karellas; Brian W Pogue; Keith D Paulsen; Steven P Poplack
Journal:  J Biomed Opt       Date:  2016-09-01       Impact factor: 3.170

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